nomic-embed-text-v1.5 vs S-PubMedBert-MedQuAD

Specs, VRAM requirements and download trends — updated 10 November 2026.

nomic-ai · A · Open weights
Params
140 M
Context
2,048
30d
11.9 M
apache-2.0 · commercial OK
TimKond · B · Open weights
Params
110 M
Context
512
30d
439 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification nomic-embed-text-v1.5 S-PubMedBert-MedQuAD
Parameters 140 M 110 M
Architecture NomicBertModel BertModel
Context length 2,048 512
Licence apache-2.0 mit
Commercial use Allowed Allowed
Languages 1 —
Downloads 30d 11,931,543 438,757
Downloads all time 178.2 M 3.4 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-02-10 2022-06-09

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

16.6 M391 K
nomic-embed-text-v1.5 S-PubMedBert-MedQuAD

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

S-PubMedBert-MedQuAD · fp16 1.0 GB / 24 GB
✅ Runs comfortably
nomic-embed-text-v1.5 · fp16 1.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons